Standout Papers
Citation Impact
Citing Papers
Learning multiple visual domains with residual adapters
2017
Rainfall–runoff modelling using Long Short-Term Memory (LSTM) networks
2018 Standout
HESS Opinions: Incubating deep-learning-powered hydrologic science advances as a community
2018
HESS Opinions: Deep learning as a promising avenue toward knowledge discovery in water sciences
2018
Recent advances in physical reservoir computing: A review
2019 Standout
Classification and mutation prediction from non–small cell lung cancer histopathology images using deep learning
2018 Standout
Machine learning for molecular and materials science
2018 StandoutNature
Multi-column deep neural network for traffic sign classification
2012
Deep learning and process understanding for data-driven Earth system science
2019 StandoutNature
Deep learning
2015 StandoutNatureNobel
Neuroscience-Inspired Artificial Intelligence
2017 StandoutNobel
Review of deep learning: concepts, CNN architectures, challenges, applications, future directions
2021 Standout
Using Deep Learning for Image-Based Plant Disease Detection
2016 Standout
Deep learning in neural networks: An overview
2014 Standout
Machine learning: Trends, perspectives, and prospects
2015 StandoutScience
Deep Convolutional Neural Networks for Image Classification: A Comprehensive Review
2017 Standout
Deep learning for sensor-based activity recognition: A survey
2018 Standout
Convolutional networks for fast, energy-efficient neuromorphic computing
2016
Federated Learning in Mobile Edge Networks: A Comprehensive Survey
2020 Standout
MoleculeNet: a benchmark for molecular machine learning
2017 Standout
Model Compression and Hardware Acceleration for Neural Networks: A Comprehensive Survey
2020 Standout
A novel method for intelligent fault diagnosis of rolling bearings using ensemble deep auto-encoders
2017 Standout
Digitalization and AI in European Agriculture: A Strategy for Achieving Climate and Biodiversity Targets?
2021 Standout
Deep neural networks: A promising tool for fault characteristic mining and intelligent diagnosis of rotating machinery with massive data
2015 Standout
Deep learning with coherent nanophotonic circuits
2017 Standout
A Deep Learning Approach for Intrusion Detection Using Recurrent Neural Networks
2017 Standout
Deep visual domain adaptation: A survey
2018 Standout
Deep Multi-Modal Object Detection and Semantic Segmentation for Autonomous Driving: Datasets, Methods, and Challenges
2020 Standout
A game-based approximate verification of deep neural networks with provable guarantees
2019
Deep learning for healthcare: review, opportunities and challenges
2017 Standout
Vision-Based Traffic Sign Detection and Analysis for Intelligent Driver Assistance Systems: Perspectives and Survey
2012 Standout
Autonomous concrete crack detection using deep fully convolutional neural network
2018 Standout
Deep learning with long short-term memory networks for financial market predictions
2017 Standout
Simultaneous Traffic Sign Detection and Boundary Estimation Using Convolutional Neural Network
2018
A systematic literature review on machine learning applications for sustainable agriculture supply chain performance
2020 Standout
ImageNet classification with deep convolutional neural networks
2017 StandoutNobel
Towards Large-Scale Small Object Detection: Survey and Benchmarks
2023
Traffic Sign Recognition Using a Multi-Task Convolutional Neural Network
2017
Digital Reticular Chemistry
2020 StandoutNobel
CNN Design for Real-Time Traffic Sign Recognition
2017
A Review of Recurrent Neural Networks: LSTM Cells and Network Architectures
2019 Standout
Efficient Processing of Deep Neural Networks: A Tutorial and Survey
2017 Standout
Explainable Artificial Intelligence (XAI): What we know and what is left to attain Trustworthy Artificial Intelligence
2023 Standout
Data-intensive applications, challenges, techniques and technologies: A survey on Big Data
2014 Standout
A survey of deep neural network architectures and their applications
2016 Standout
Comprehensive Review of Artificial Neural Network Applications to Pattern Recognition
2019 Standout
Deep learning and its applications to machine health monitoring
2018 Standout
A New Convolutional Neural Network-Based Data-Driven Fault Diagnosis Method
2017 Standout
Survey on Scenario-Based Safety Assessment of Automated Vehicles
2020 Standout
Threat of Adversarial Attacks on Deep Learning in Computer Vision: A Survey
2018 Standout
Applications of machine learning to machine fault diagnosis: A review and roadmap
2020 Standout
Is it Safe to Drive? An Overview of Factors, Metrics, and Datasets for Driveability Assessment in Autonomous Driving
2019
Object Detection in 20 Years: A Survey
2023 Standout
Recent advances in artificial intelligence and machine learning for nonlinear relationship analysis and process control in drinking water treatment: A review
2020 Standout
Deep learning with convolutional neural networks for EEG decoding and visualization
2017 Standout
Artificial Neural Networks-Based Machine Learning for Wireless Networks: A Tutorial
2019 Standout
A New Deep Transfer Learning Based on Sparse Auto-Encoder for Fault Diagnosis
2017 Standout
Deep Learning in Medical Image Analysis
2017 Standout
A Survey of Convolutional Neural Networks: Analysis, Applications, and Prospects
2021 Standout
Deep learning in agriculture: A survey
2018 Standout
Works of Jan Salmen being referenced
Man vs. computer: Benchmarking machine learning algorithms for traffic sign recognition
2012 Standout
The German Traffic Sign Recognition Benchmark: A multi-class classification competition
2011 Standout
Detection of traffic signs in real-world images: The German traffic sign detection benchmark
2013